🔗 Who cites «RNNs are not Transformers (Yet): The Key Bottleneck on In-context Retrieval»

16 papers of our library cite it (of the 149,439 whose bibliographies we read) · 2 with a page here, the most cited first · ← back to «RNNs are not Transformers (Yet): The Key Bottleneck on In-context Retrieval»

1. Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language ModelingarXiv:2406.07522Liliang Ren, Yang Liu, Yadong Lu, et al.2024 · 59 citations
2. Kimi Linear: An Expressive, Efficient Attention ArchitecturearXiv:2510.26692Kimi Team, Yu Zhang, Zongyu Lin, et al.2025 · 51 citations

14 more papers of our library cite it; they have no page here yet.

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